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University (junior and senior students are preferred) Good academic standing (GPA above 3.3). Preferred Experience Strong programming skills, preferably in Python, C, or C++, or a willingness to learn these
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computational biology, bioinformatics, biology, computer science, physics or related disciplines • Strong computational skills in at least one programming language (e.g. R or Python) • A strong publication record
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function. Command of R and/or Python computing platforms. Experience mapping data to species-specific genomes and performing analyses from open source and custom experimental datasets (e.g., bulk RNAseq
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. Applicants are expected to have strong programming skills in Python, hands-on experience with PyTorch, and practical experience with GPU computing. Experience with engineering simulation, computational
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. Knowledge of cybercrime concepts and LLM prompt techniques. Proficiency in programming languages such as Python, C/C++, and Java. Familiarity with vulnerability analysis, network analysis, and cybercrime
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using languages such as Python, R, and Bash. · Experience developing, implementing, and optimizing computational pipelines and bioinformatics tools for large-scale genomic datasets. · Strong
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computational analysis of proteomics data is highly desirable. Experience with Python, R, or related scientific computing tools; proteomics software platforms; biological databases; data repositories
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research questions. Strong quantitative research skills and proficiency in Python or R. Experience with large-scale textual data, natural language processing, machine learning, transformer-based models
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
structure adjustment). Strong programming skills (e.g., Python, R) and experience working in Linux/HPC or cloud computing environments. Evidence of scholarly productivity (publications or substantial research
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populations). Proficiency in R, Python, and SQL. Certifications/Licenses Required Knowledge, Skills, and Abilities Leadership role on funded grant(s). Preferred Qualifications Experience with EHR data such as